reboot.md / notes
About
Who I help, what I’m building, and why this public operating log exists.
Short version
I’m Diego Landa, a full-stack engineer and engineering leader with more than 15 years of experience building and modernizing products across the US, Latin America, and Europe. My work spans platform engineering, identity, reliability, delivery systems, and practical AI-assisted software. I am turning that experience into product-led businesses in public.
Work with me
The best fit is early product engineering, AI-assisted product development, technical strategy, internal tools, and systems that turn expert knowledge into useful software or public context. If you are trying to ship a product, clarify a technical bet, or build an AI-enabled workflow without losing engineering judgment, email diego@reboot.md.
What I’m doing now
I am moving from selling time toward building software assets, reusable systems, audiences, and product-led businesses. The main active bet is OakShelf, supported by Creator Copilot, Economics for Builders, and agentic engineering workflows.
Why reboot.md exists
This site is a public operating log. It keeps a chronological record of bets, tradeoffs, product decisions, notes, and learning. It is also designed as a machine-readable knowledge base for future readers, collaborators, and AI agents.
Professional background
My background includes full-stack product work, platform and identity systems, reliability, testing, release automation, and engineering leadership. I care about shipping pragmatic software, improving engineering judgment, and translating technical work into business value.
What I’m building
OakShelf is a package system for reusable agent skills, tools, and workflows. It gives teams a versioned, verifiable path from a package source to the agent environments where the work runs. Creator Copilot turns rough founder notes into consistent public content. Economics for Builders is my learning path through markets, pricing, incentives, and fintech. Agentic Workflows captures how I use AI coding agents without outsourcing judgment.
What I believe
Good engineering matters, but good code does not guarantee a good business. Distribution, positioning, economics, customer trust, and timing have to be learned with the same seriousness as architecture.
What I’m learning
I am studying pricing, market structure, product distribution, AI-native workflows, founder-led publishing, and the mechanics of building durable software assets.
How I work
I prefer written context, small loops, explicit tradeoffs, source-controlled content, simple systems, and visible provenance. I use AI tools heavily, but the human responsibility for taste, judgment, and final edits stays with me.
Technical stack
reboot.md is a Vercel-hosted Next.js App Router site using TypeScript, Tailwind CSS, Markdown content files, static generation, RSS, JSON Feed, llms.txt, and public JSON endpoints.
Topics I write about
Engineering independence, product-led business, OakShelf, agent packages, creator systems, economics for builders, AI workflows, consulting leverage, engineering leadership, writing systems, and machine-readable publishing.
Open questions
What makes an agent package portable and trustworthy enough to install? Where should deterministic tools end and agent judgment begin? What should a public archive expose to machines? How can consulting insight fund product work without consuming all attention?
Contact
Email diego@reboot.md, use LinkedIn or GitHub, or start from the contact page. A useful first note includes the problem, what you have already tried, and what outcome you want.